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Published on: June 12, 2021
Application of the SCAI classification in a cohort of patients with cardiogenic shock
Benedikt Schrage1,2, Salim Dabboura1, Isabell Yan1
1Department of Interventional and General Cardiology, University Heart Centre Hamburg, Hamburg, Germany.
Insights
The Society of Cardiovascular Angiography and Interventions (SCAI) classification for cardiogenic shock (CS) effectively predicts 30-day survival. Higher SCAI classes correlate with decreased survival rates in CS patients.
Area of Science:
- Cardiology
- Clinical Medicine
- Interventional Cardiology
Background:
- The Society of Cardiovascular Angiography and Interventions (SCAI) introduced a new classification system for cardiogenic shock (CS).
- This system categorizes patients into five distinct subgroups.
Purpose of the Study:
- To apply the SCAI classification to a large cohort of patients experiencing CS.
- To assess the classification's ability to predict 30-day survival rates.
Main Methods:
- The SCAI CS classification was applied to 1,007 consecutive patients with CS or large myocardial infarction (MI).
- Data were collected between October 2009 and October 2017.
- Logistic regression analysis was used to determine the association between SCAI classification and 30-day all-cause mortality.
Main Results:
- The study included 1,007 patients with a mean age of 67 years; 72% were male.
- Overall 30-day survival was 50.6%.
- Survival probabilities decreased significantly with higher SCAI classes (Class A: 96.4% to Class E: 22.6%), with a statistically significant association (p < .01).
Conclusions:
- The SCAI classification of cardiogenic shock is significantly associated with 30-day survival in a large clinical cohort.
- These findings support the validity of the SCAI CS classification.
- Further validation in a prospective trial is recommended.
Background:
The Society of Cardiovascular Angiography and Interventions (SCAI) have recently proposed a new classification of cardiogenic shock (CS) dividing patients into five subgroups.
Objective:
Aim of this study was to apply the SCAI classification to a cohort of patients presenting with CS and to evaluate its ability to predict 30-day survival.
Methods:
SCAI CS subgroups were interpreted based on the recent consensus statement and then applied to N = 1,007 consecutive patients presenting with CS or large myocardial infarction (MI) between October 2009 and October 2017. The association between SCAI classification and 30-day all-cause mortality was assessed by logistic regression analysis.
Results:
Mean age in the study cohort was 67 (±15) years, 72% were male. Mean lactate at baseline was 6.05 (±5.13) mmol/l and 51% of the patients had prior cardiac arrest. Overall survival probability was 50.6% (95% confidence interval [CI] 47.5-54.0%). In view of the SCAI classification, the survival probability was 96.4% (95% CI 93.7-99.0%) in class A, 66.1% (95% CI 50.2-87.1%) in class B, 46.1% (95% CI 40.6-52.4%) in class C, 33.1% (95% CI 26.6-41.1%) in class D, and 22.6% (95% CI 17.1-30.0%) in class E. Higher SCAI classification was significantly associated with lower 30-day survival (p < .01).
Conclusion:
In this large clinical cohort, the SCAI classification was significantly associated with 30-day survival. This finding supports the rationale of the SCAI CS classification and calls for a validation in a prospective trial.
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